Overview

Brought to you by YData

Dataset statistics

Number of variables	30
Number of observations	20040
Missing cells	4584
Missing cells (%)	0.8%
Duplicate rows	40
Duplicate rows (%)	0.2%
Total size in memory	12.9 MiB
Average record size in memory	675.5 B

Variable types

Numeric	16
DateTime	2
Categorical	12

Dataset

Description	Comprehensive profiling of the telecom subscriber dataset.
URL

Alerts

Dataset has 40 (0.2%) duplicate rows	Duplicates
`credit_score` is highly overall correlated with `late_payments`	High correlation
`lat` is highly overall correlated with `province`	High correlation
`late_payments` is highly overall correlated with `credit_score`	High correlation
`lng` is highly overall correlated with `province`	High correlation
`monthly_charges` is highly overall correlated with `next_month_spend` and 1 other fields	High correlation
`next_month_spend` is highly overall correlated with `monthly_charges` and 2 other fields	High correlation
`plan_type` is highly overall correlated with `next_month_spend`	High correlation
`province` is highly overall correlated with `lat` and 1 other fields	High correlation
`review_text` is highly overall correlated with `satisfaction_score`	High correlation
`satisfaction_score` is highly overall correlated with `review_text`	High correlation
`tenure_months` is highly overall correlated with `total_charges`	High correlation
`total_charges` is highly overall correlated with `monthly_charges` and 2 other fields	High correlation
`satisfaction_score` is highly imbalanced (57.2%)	Imbalance
`payment_method` has 399 (2.0%) missing values	Missing
`data_usage_gb` has 778 (3.9%) missing values	Missing
`avg_session_minutes` has 658 (3.3%) missing values	Missing
`credit_score` has 969 (4.8%) missing values	Missing
`income` has 1576 (7.9%) missing values	Missing
`review_text` has 204 (1.0%) missing values	Missing
`customer_id` is uniformly distributed	Uniform
`tenure_months` has 564 (2.8%) zeros	Zeros
`total_charges` has 564 (2.8%) zeros	Zeros
`support_tickets_last_6mo` has 8323 (41.5%) zeros	Zeros
`late_payments` has 12384 (61.8%) zeros	Zeros

Reproduction

Analysis started	2025-11-02 21:25:08.299101
Analysis finished	2025-11-02 21:25:26.904286
Duration	18.61 seconds
Software version	ydata-profiling vv4.17.0
Download configuration	config.json

customer_id
Real number (ℝ)

Uniform

Distinct	20000
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10004.174

Minimum	1
Maximum	20000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1002.95
Q1	5004.75
median	10004.5
Q3	15006.25
95-th percentile	19001.05
Maximum	20000
Range	19999
Interquartile range (IQR)	10001.5

Descriptive statistics

Standard deviation	5773.6797
Coefficient of variation (CV)	0.5771271
Kurtosis	-1.2001999
Mean	10004.174
Median Absolute Deviation (MAD)	5001
Skewness	-0.00068560945
Sum	2.0048364 × 10⁸
Variance	33335377
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9302	2	< 0.1%
3439	2	< 0.1%
2745	2	< 0.1%
13437	2	< 0.1%
12387	2	< 0.1%
7357	2	< 0.1%
2559	2	< 0.1%
9108	2	< 0.1%
6721	2	< 0.1%
11468	2	< 0.1%
Other values (19990)	20020	99.9%

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
20000	1	< 0.1%
19999	1	< 0.1%
19998	1	< 0.1%
19997	1	< 0.1%
19996	1	< 0.1%
19995	1	< 0.1%
19994	1	< 0.1%
19993	1	< 0.1%
19992	1	< 0.1%
19991	1	< 0.1%

signup_date
Date

Distinct	2555
Distinct (%)	12.7%
Missing	0
Missing (%)	0.0%
Memory size	156.7 KiB

Minimum	2018-01-01 00:00:00
Maximum	2024-12-30 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

last_seen
Date

Distinct	2682
Distinct (%)	13.4%
Missing	0
Missing (%)	0.0%
Memory size	156.7 KiB

Minimum	2018-01-09 00:00:00
Maximum	2025-09-30 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

age
Real number (ℝ)

Distinct	54
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.695609

Minimum	18
Maximum	77
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	18
5-th percentile	18
Q1	28
median	34
Q3	41
95-th percentile	51
Maximum	77
Range	59
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.5703269
Coefficient of variation (CV)	0.27583684
Kurtosis	-0.37688158
Mean	34.695609
Median Absolute Deviation (MAD)	7
Skewness	0.23206646
Sum	695300
Variance	91.591158
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	1084	5.4%
34	863	4.3%
36	792	4.0%
32	781	3.9%
33	773	3.9%
35	773	3.9%
37	772	3.9%
38	761	3.8%
31	740	3.7%
39	690	3.4%
Other values (44)	12011	59.9%

Value	Count	Frequency (%)
18	1084	5.4%
19	251	1.3%
20	248	1.2%
21	348	1.7%
22	328	1.6%
23	415	2.1%
24	483	2.4%
25	520	2.6%
26	577	2.9%
27	662	3.3%

Value	Count	Frequency (%)
77	1	< 0.1%
75	1	< 0.1%
69	2	< 0.1%
68	1	< 0.1%
67	2	< 0.1%
66	9	< 0.1%
65	2	< 0.1%
64	7	< 0.1%
63	10	< 0.1%
62	24	0.1%

gender
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

Female	9778
Male	9533
Other	729

Length

Max length	6
Median length	5
Mean length	5.0122255
Min length	4

Characters and Unicode

Total characters	100445
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Female
3rd row	Male
4th row	Male
5th row	Female

Common Values

Value	Count	Frequency (%)
Female	9778	48.8%
Male	9533	47.6%
Other	729	3.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	9778	48.8%
male	9533	47.6%
other	729	3.6%

Most occurring characters

Value	Count	Frequency (%)
e	29818	29.7%
a	19311	19.2%
l	19311	19.2%
F	9778	9.7%
m	9778	9.7%
M	9533	9.5%
O	729	0.7%
t	729	0.7%
h	729	0.7%
r	729	0.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100445	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	29818	29.7%
a	19311	19.2%
l	19311	19.2%
F	9778	9.7%
m	9778	9.7%
M	9533	9.5%
O	729	0.7%
t	729	0.7%
h	729	0.7%
r	729	0.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100445	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	29818	29.7%
a	19311	19.2%
l	19311	19.2%
F	9778	9.7%
m	9778	9.7%
M	9533	9.5%
O	729	0.7%
t	729	0.7%
h	729	0.7%
r	729	0.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100445	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	29818	29.7%
a	19311	19.2%
l	19311	19.2%
F	9778	9.7%
m	9778	9.7%
M	9533	9.5%
O	729	0.7%
t	729	0.7%
h	729	0.7%
r	729	0.7%

province
Categorical

High correlation

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Harare	2086
Mashonaland East	2044
Mashonaland West	2034
Masvingo	2023
Matabeleland South	1999
Other values (5)	9854

Length

Max length	19
Median length	18
Mean length	12.65983
Min length	6

Characters and Unicode

Total characters	253703
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Matabeleland North
2nd row	Mashonaland West
3rd row	Midlands
4th row	Bulawayo
5th row	Matabeleland South

Common Values

Value	Count	Frequency (%)
Harare	2086	10.4%
Mashonaland East	2044	10.2%
Mashonaland West	2034	10.1%
Masvingo	2023	10.1%
Matabeleland South	1999	10.0%
Bulawayo	1995	10.0%
Manicaland	1982	9.9%
Midlands	1973	9.8%
Matabeleland North	1967	9.8%
Mashonaland Central	1937	9.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mashonaland	6015	20.0%
matabeleland	3966	13.2%
harare	2086	6.9%
east	2044	6.8%
west	2034	6.8%
masvingo	2023	6.7%
south	1999	6.7%
bulawayo	1995	6.6%
manicaland	1982	6.6%
midlands	1973	6.6%
Other values (2)	3904	13.0%

Most occurring characters

Value	Count	Frequency (%)
a	52028	20.5%
n	25893	10.2%
l	21834	8.6%
M	15959	6.3%
d	15909	6.3%
s	14089	5.6%
o	13999	5.5%
e	13989	5.5%
t	13947	5.5%
	9981	3.9%
Other values (17)	56075	22.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	253703	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	52028	20.5%
n	25893	10.2%
l	21834	8.6%
M	15959	6.3%
d	15909	6.3%
s	14089	5.6%
o	13999	5.5%
e	13989	5.5%
t	13947	5.5%
	9981	3.9%
Other values (17)	56075	22.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	253703	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	52028	20.5%
n	25893	10.2%
l	21834	8.6%
M	15959	6.3%
d	15909	6.3%
s	14089	5.6%
o	13999	5.5%
e	13989	5.5%
t	13947	5.5%
	9981	3.9%
Other values (17)	56075	22.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	253703	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	52028	20.5%
n	25893	10.2%
l	21834	8.6%
M	15959	6.3%
d	15909	6.3%
s	14089	5.6%
o	13999	5.5%
e	13989	5.5%
t	13947	5.5%
	9981	3.9%
Other values (17)	56075	22.1%

lat
Real number (ℝ)

High correlation

Distinct	15914
Distinct (%)	79.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-18.879823

Minimum	-21.6306
Maximum	-16.1507
Zeros	0
Zeros (%)	0.0%
Negative	20040
Negative (%)	100.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	-21.6306
5-th percentile	-21.05431
Q1	-19.968725
median	-18.82895
Q3	-17.827275
95-th percentile	-16.767825
Maximum	-16.1507
Range	5.4799
Interquartile range (IQR)	2.14145

Descriptive statistics

Standard deviation	1.2868369
Coefficient of variation (CV)	-0.068159372
Kurtosis	-0.90675311
Mean	-18.879823
Median Absolute Deviation (MAD)	1.08305
Skewness	0.0033369104
Sum	-378351.65
Variance	1.6559491
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-18.9129	7	< 0.1%
-20.0347	6	< 0.1%
-18.6874	6	< 0.1%
-18.631	6	< 0.1%
-18.5723	6	< 0.1%
-18.6203	5	< 0.1%
-20.1872	5	< 0.1%
-18.5064	5	< 0.1%
-17.5819	5	< 0.1%
-20.0059	5	< 0.1%
Other values (15904)	19984	99.7%

Value	Count	Frequency (%)
-21.6306	1	< 0.1%
-21.6256	1	< 0.1%
-21.6133	1	< 0.1%
-21.6049	1	< 0.1%
-21.6046	1	< 0.1%
-21.6012	1	< 0.1%
-21.5785	1	< 0.1%
-21.5735	1	< 0.1%
-21.5594	1	< 0.1%
-21.5563	1	< 0.1%

Value	Count	Frequency (%)
-16.1507	1	< 0.1%
-16.1509	1	< 0.1%
-16.1627	1	< 0.1%
-16.1696	1	< 0.1%
-16.1818	1	< 0.1%
-16.2009	1	< 0.1%
-16.2019	1	< 0.1%
-16.2369	1	< 0.1%
-16.2497	1	< 0.1%
-16.2801	1	< 0.1%

lng
Real number (ℝ)

High correlation

Distinct	16056
Distinct (%)	80.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	30.313769

Minimum	26.7921
Maximum	33.3467
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	26.7921
5-th percentile	27.5528
Q1	29.072375
median	30.53245
Q3	31.213525
95-th percentile	32.667315
Maximum	33.3467
Range	6.5546
Interquartile range (IQR)	2.14115

Descriptive statistics

Standard deviation	1.516646
Coefficient of variation (CV)	0.050031587
Kurtosis	-0.79024401
Mean	30.313769
Median Absolute Deviation (MAD)	1.08415
Skewness	-0.20191754
Sum	607487.93
Variance	2.300215
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
29.8818	7	< 0.1%
30.9875	6	< 0.1%
30.9929	5	< 0.1%
31.3305	5	< 0.1%
29.9894	5	< 0.1%
30.9809	5	< 0.1%
30.8704	5	< 0.1%
30.9938	5	< 0.1%
31.0841	5	< 0.1%
31.1523	5	< 0.1%
Other values (16046)	19987	99.7%

Value	Count	Frequency (%)
26.7921	1	< 0.1%
26.8313	1	< 0.1%
26.9224	1	< 0.1%
26.9681	1	< 0.1%
26.9687	1	< 0.1%
26.9802	1	< 0.1%
26.9998	1	< 0.1%
27.0126	1	< 0.1%
27.0137	1	< 0.1%
27.0256	1	< 0.1%

Value	Count	Frequency (%)
33.3467	1	< 0.1%
33.3195	1	< 0.1%
33.2555	1	< 0.1%
33.2553	1	< 0.1%
33.2529	1	< 0.1%
33.2523	1	< 0.1%
33.2473	1	< 0.1%
33.2416	1	< 0.1%
33.2161	1	< 0.1%
33.1921	1	< 0.1%

plan_type
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

Prepaid	8927
Postpaid	8064
Premium	3049

Length

Max length	8
Median length	7
Mean length	7.4023952
Min length	7

Characters and Unicode

Total characters	148344
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Premium
2nd row	Prepaid
3rd row	Prepaid
4th row	Prepaid
5th row	Postpaid

Common Values

Value	Count	Frequency (%)
Prepaid	8927	44.5%
Postpaid	8064	40.2%
Premium	3049	15.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
prepaid	8927	44.5%
postpaid	8064	40.2%
premium	3049	15.2%

Most occurring characters

Value	Count	Frequency (%)
P	20040	13.5%
i	20040	13.5%
a	16991	11.5%
p	16991	11.5%
d	16991	11.5%
r	11976	8.1%
e	11976	8.1%
o	8064	5.4%
s	8064	5.4%
t	8064	5.4%
Other values (2)	9147	6.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	148344	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
P	20040	13.5%
i	20040	13.5%
a	16991	11.5%
p	16991	11.5%
d	16991	11.5%
r	11976	8.1%
e	11976	8.1%
o	8064	5.4%
s	8064	5.4%
t	8064	5.4%
Other values (2)	9147	6.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	148344	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
P	20040	13.5%
i	20040	13.5%
a	16991	11.5%
p	16991	11.5%
d	16991	11.5%
r	11976	8.1%
e	11976	8.1%
o	8064	5.4%
s	8064	5.4%
t	8064	5.4%
Other values (2)	9147	6.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	148344	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
P	20040	13.5%
i	20040	13.5%
a	16991	11.5%
p	16991	11.5%
d	16991	11.5%
r	11976	8.1%
e	11976	8.1%
o	8064	5.4%
s	8064	5.4%
t	8064	5.4%
Other values (2)	9147	6.2%

contract
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Month-to-Month	11068
One Year	5968
Two Year	3004

Length

Max length	14
Median length	14
Mean length	11.313772
Min length	8

Characters and Unicode

Total characters	226728
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Month-to-Month
2nd row	Month-to-Month
3rd row	One Year
4th row	Month-to-Month
5th row	Two Year

Common Values

Value	Count	Frequency (%)
Month-to-Month	11068	55.2%
One Year	5968	29.8%
Two Year	3004	15.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
month-to-month	11068	38.1%
year	8972	30.9%
one	5968	20.6%
two	3004	10.4%

Most occurring characters

Value	Count	Frequency (%)
o	36208	16.0%
t	33204	14.6%
n	28104	12.4%
M	22136	9.8%
h	22136	9.8%
-	22136	9.8%
e	14940	6.6%
	8972	4.0%
Y	8972	4.0%
a	8972	4.0%
Other values (4)	20948	9.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	226728	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	36208	16.0%
t	33204	14.6%
n	28104	12.4%
M	22136	9.8%
h	22136	9.8%
-	22136	9.8%
e	14940	6.6%
	8972	4.0%
Y	8972	4.0%
a	8972	4.0%
Other values (4)	20948	9.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	226728	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	36208	16.0%
t	33204	14.6%
n	28104	12.4%
M	22136	9.8%
h	22136	9.8%
-	22136	9.8%
e	14940	6.6%
	8972	4.0%
Y	8972	4.0%
a	8972	4.0%
Other values (4)	20948	9.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	226728	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	36208	16.0%
t	33204	14.6%
n	28104	12.4%
M	22136	9.8%
h	22136	9.8%
-	22136	9.8%
e	14940	6.6%
	8972	4.0%
Y	8972	4.0%
a	8972	4.0%
Other values (4)	20948	9.2%

payment_method
Categorical

Missing

Distinct	4
Distinct (%)	< 0.1%
Missing	399
Missing (%)	2.0%
Memory size	1.3 MiB

Debit Card	6803
EcoCash	6094
Credit Card	4901
Cash	1843

Length

Max length	11
Median length	10
Mean length	8.7557151
Min length	4

Characters and Unicode

Total characters	171971
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Credit Card
2nd row	EcoCash
3rd row	EcoCash
4th row	Debit Card
5th row	EcoCash

Common Values

Value	Count	Frequency (%)
Debit Card	6803	33.9%
EcoCash	6094	30.4%
Credit Card	4901	24.5%
Cash	1843	9.2%
(Missing)	399	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
card	11704	37.3%
debit	6803	21.7%
ecocash	6094	19.4%
credit	4901	15.6%
cash	1843	5.9%

Most occurring characters

Value	Count	Frequency (%)
C	24542	14.3%
a	19641	11.4%
r	16605	9.7%
d	16605	9.7%
t	11704	6.8%
i	11704	6.8%
e	11704	6.8%
	11704	6.8%
h	7937	4.6%
s	7937	4.6%
Other values (5)	31888	18.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	171971	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
C	24542	14.3%
a	19641	11.4%
r	16605	9.7%
d	16605	9.7%
t	11704	6.8%
i	11704	6.8%
e	11704	6.8%
	11704	6.8%
h	7937	4.6%
s	7937	4.6%
Other values (5)	31888	18.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	171971	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
C	24542	14.3%
a	19641	11.4%
r	16605	9.7%
d	16605	9.7%
t	11704	6.8%
i	11704	6.8%
e	11704	6.8%
	11704	6.8%
h	7937	4.6%
s	7937	4.6%
Other values (5)	31888	18.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	171971	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
C	24542	14.3%
a	19641	11.4%
r	16605	9.7%
d	16605	9.7%
t	11704	6.8%
i	11704	6.8%
e	11704	6.8%
	11704	6.8%
h	7937	4.6%
s	7937	4.6%
Other values (5)	31888	18.5%

device_type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

Android	12012
iOS	5598
Web	2430

Length

Max length	7
Median length	7
Mean length	5.3976048
Min length	3

Characters and Unicode

Total characters	108168
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Android
2nd row	Android
3rd row	Android
4th row	Android
5th row	iOS

Common Values

Value	Count	Frequency (%)
Android	12012	59.9%
iOS	5598	27.9%
Web	2430	12.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
android	12012	59.9%
ios	5598	27.9%
web	2430	12.1%

Most occurring characters

Value	Count	Frequency (%)
d	24024	22.2%
i	17610	16.3%
A	12012	11.1%
n	12012	11.1%
r	12012	11.1%
o	12012	11.1%
O	5598	5.2%
S	5598	5.2%
W	2430	2.2%
e	2430	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	108168	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	24024	22.2%
i	17610	16.3%
A	12012	11.1%
n	12012	11.1%
r	12012	11.1%
o	12012	11.1%
O	5598	5.2%
S	5598	5.2%
W	2430	2.2%
e	2430	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	108168	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	24024	22.2%
i	17610	16.3%
A	12012	11.1%
n	12012	11.1%
r	12012	11.1%
o	12012	11.1%
O	5598	5.2%
S	5598	5.2%
W	2430	2.2%
e	2430	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	108168	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	24024	22.2%
i	17610	16.3%
A	12012	11.1%
n	12012	11.1%
r	12012	11.1%
o	12012	11.1%
O	5598	5.2%
S	5598	5.2%
W	2430	2.2%
e	2430	2.2%

has_app
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

1	15549
0	4491

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20040
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	15549	77.6%
0	4491	22.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	15549	77.6%
0	4491	22.4%

Most occurring characters

Value	Count	Frequency (%)
1	15549	77.6%
0	4491	22.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	15549	77.6%
0	4491	22.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	15549	77.6%
0	4491	22.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	15549	77.6%
0	4491	22.4%

has_international_plan
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

0	16424
1	3616

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20040
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	16424	82.0%
1	3616	18.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	16424	82.0%
1	3616	18.0%

Most occurring characters

Value	Count	Frequency (%)
0	16424	82.0%
1	3616	18.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	16424	82.0%
1	3616	18.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	16424	82.0%
1	3616	18.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	16424	82.0%
1	3616	18.0%

tenure_months
Real number (ℝ)

High correlation Zeros

Distinct	37
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.640419

Minimum	0
Maximum	36
Zeros	564
Zeros (%)	2.8%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	9
median	16
Q3	25
95-th percentile	33
Maximum	36
Range	36
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	9.9751897
Coefficient of variation (CV)	0.59945543
Kurtosis	-1.0437911
Mean	16.640419
Median Absolute Deviation (MAD)	8
Skewness	0.15020363
Sum	333474
Variance	99.504409
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
11	723	3.6%
10	711	3.5%
12	688	3.4%
9	668	3.3%
14	662	3.3%
13	660	3.3%
16	649	3.2%
17	639	3.2%
15	637	3.2%
18	612	3.1%
Other values (27)	13391	66.8%

Value	Count	Frequency (%)
0	564	2.8%
1	496	2.5%
2	528	2.6%
3	582	2.9%
4	551	2.7%
5	551	2.7%
6	535	2.7%
7	575	2.9%
8	576	2.9%
9	668	3.3%

Value	Count	Frequency (%)
36	203	1.0%
35	399	2.0%
34	374	1.9%
33	381	1.9%
32	407	2.0%
31	474	2.4%
30	475	2.4%
29	480	2.4%
28	463	2.3%
27	468	2.3%

monthly_charges
Real number (ℝ)

High correlation

Distinct	6408
Distinct (%)	32.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.634177

Minimum	5
Maximum	685.08
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	5
5-th percentile	10.3695
Q1	15.47
median	25.305
Q3	40.67
95-th percentile	78.4005
Maximum	685.08
Range	680.08
Interquartile range (IQR)	25.2

Descriptive statistics

Standard deviation	22.205095
Coefficient of variation (CV)	0.70193368
Kurtosis	51.423338
Mean	31.634177
Median Absolute Deviation (MAD)	11.225
Skewness	3.2398279
Sum	633948.91
Variance	493.06622
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	38	0.2%
15.2	18	0.1%
14.66	18	0.1%
16.59	18	0.1%
14.92	18	0.1%
15.51	18	0.1%
14.7	17	0.1%
14.35	17	0.1%
13.38	17	0.1%
14.73	17	0.1%
Other values (6398)	19844	99.0%

Value	Count	Frequency (%)
5	38	0.2%
5.02	1	< 0.1%
5.03	1	< 0.1%
5.06	1	< 0.1%
5.1	1	< 0.1%
5.12	1	< 0.1%
5.18	1	< 0.1%
5.19	1	< 0.1%
5.23	1	< 0.1%
5.24	1	< 0.1%

Value	Count	Frequency (%)
685.08	1	< 0.1%
492.18	1	< 0.1%
312.78	1	< 0.1%
300.3	1	< 0.1%
258.06	1	< 0.1%
238.5	1	< 0.1%
220.08	1	< 0.1%
219.36	1	< 0.1%
213.72	1	< 0.1%
201.48	1	< 0.1%

total_charges
Real number (ℝ)

High correlation Zeros

Distinct	17759
Distinct (%)	88.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	524.17739

Minimum	0
Maximum	4214.07
Zeros	564
Zeros (%)	2.8%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	0
5-th percentile	29.819
Q1	177.0725
median	366.55
Q3	697.2475
95-th percentile	1575.3925
Maximum	4214.07
Range	4214.07
Interquartile range (IQR)	520.175

Descriptive statistics

Standard deviation	513.14362
Coefficient of variation (CV)	0.97895031
Kurtosis	4.8111329
Mean	524.17739
Median Absolute Deviation (MAD)	227.575
Skewness	1.9466897
Sum	10504515
Variance	263316.37
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	564	2.8%
414.16	4	< 0.1%
659.69	4	< 0.1%
427	4	< 0.1%
356.12	4	< 0.1%
510.17	4	< 0.1%
396.82	4	< 0.1%
32.17	4	< 0.1%
248.84	4	< 0.1%
67.35	4	< 0.1%
Other values (17749)	19440	97.0%

Value	Count	Frequency (%)
0	564	2.8%
4.68	1	< 0.1%
5.63	1	< 0.1%
6.69	1	< 0.1%
6.82	1	< 0.1%
7.03	1	< 0.1%
7.7	1	< 0.1%
7.85	1	< 0.1%
8.02	1	< 0.1%
8.4	1	< 0.1%

Value	Count	Frequency (%)
4214.07	1	< 0.1%
3878.79	1	< 0.1%
3826.04	1	< 0.1%
3647.73	1	< 0.1%
3637.53	1	< 0.1%
3615.17	1	< 0.1%
3601.67	1	< 0.1%
3569.3	1	< 0.1%
3537.05	1	< 0.1%
3509.66	1	< 0.1%

support_tickets_last_6mo
Real number (ℝ)

Zeros

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.89510978

Minimum	0
Maximum	8
Zeros	8323
Zeros (%)	41.5%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	3
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.96512159
Coefficient of variation (CV)	1.0782159
Kurtosis	1.5746834
Mean	0.89510978
Median Absolute Deviation (MAD)	1
Skewness	1.1460036
Sum	17938
Variance	0.93145969
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	8323	41.5%
1	7168	35.8%
2	3269	16.3%
3	970	4.8%
4	248	1.2%
5	46	0.2%
6	13	0.1%
7	2	< 0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
0	8323	41.5%
1	7168	35.8%
2	3269	16.3%
3	970	4.8%
4	248	1.2%
5	46	0.2%
6	13	0.1%
7	2	< 0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
7	2	< 0.1%
6	13	0.1%
5	46	0.2%
4	248	1.2%
3	970	4.8%
2	3269	16.3%
1	7168	35.8%
0	8323	41.5%

data_usage_gb
Real number (ℝ)

Missing

Distinct	2576
Distinct (%)	13.4%
Missing	778
Missing (%)	3.9%
Infinite	0
Infinite (%)	0.0%
Mean	9.8799663

Minimum	0.21
Maximum	223.52
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	0.21
5-th percentile	2.65
Q1	5.67
median	8.885
Q3	12.89
95-th percentile	20.33
Maximum	223.52
Range	223.31
Interquartile range (IQR)	7.22

Descriptive statistics

Standard deviation	6.4050209
Coefficient of variation (CV)	0.64828368
Kurtosis	160.33966
Mean	9.8799663
Median Absolute Deviation (MAD)	3.505
Skewness	6.6531955
Sum	190307.91
Variance	41.024293
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.43	31	0.2%
6.04	26	0.1%
5.18	26	0.1%
10.37	25	0.1%
6.25	24	0.1%
8.43	24	0.1%
9.21	24	0.1%
3.86	23	0.1%
6.21	23	0.1%
4.42	23	0.1%
Other values (2566)	19013	94.9%
(Missing)	778	3.9%

Value	Count	Frequency (%)
0.21	1	< 0.1%
0.22	1	< 0.1%
0.23	1	< 0.1%
0.33	1	< 0.1%
0.35	1	< 0.1%
0.37	1	< 0.1%
0.38	1	< 0.1%
0.39	1	< 0.1%
0.4	1	< 0.1%
0.45	1	< 0.1%

Value	Count	Frequency (%)
223.52	1	< 0.1%
195.76	1	< 0.1%
184.96	1	< 0.1%
158.08	1	< 0.1%
127.68	1	< 0.1%
115.84	1	< 0.1%
99.52	1	< 0.1%
82.24	1	< 0.1%
77.04	1	< 0.1%
76.08	1	< 0.1%

calls_per_month
Real number (ℝ)

Distinct	70
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.013323

Minimum	16
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	16
5-th percentile	31
Q1	37
median	43
Q3	49
95-th percentile	62
Maximum	90
Range	74
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	9.3544554
Coefficient of variation (CV)	0.2125369
Kurtosis	0.56160165
Mean	44.013323
Median Absolute Deviation (MAD)	6
Skewness	0.70657745
Sum	882027
Variance	87.505836
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39	973	4.9%
42	972	4.9%
41	953	4.8%
40	942	4.7%
37	922	4.6%
38	883	4.4%
43	881	4.4%
44	851	4.2%
45	834	4.2%
36	786	3.9%
Other values (60)	11043	55.1%

Value	Count	Frequency (%)
16	1	< 0.1%
18	1	< 0.1%
20	3	< 0.1%
21	3	< 0.1%
22	12	0.1%
23	20	0.1%
24	23	0.1%
25	47	0.2%
26	72	0.4%
27	93	0.5%

Value	Count	Frequency (%)
90	1	< 0.1%
88	1	< 0.1%
87	1	< 0.1%
84	3	< 0.1%
83	2	< 0.1%
82	3	< 0.1%
81	6	< 0.1%
80	2	< 0.1%
79	12	0.1%
78	8	< 0.1%

messages_per_month
Real number (ℝ)

Distinct	80
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	85.97475

Minimum	43
Maximum	139
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	43
5-th percentile	69
Q1	79
median	86
Q3	93
95-th percentile	103
Maximum	139
Range	96
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	10.467369
Coefficient of variation (CV)	0.12174934
Kurtosis	-0.046172277
Mean	85.97475
Median Absolute Deviation (MAD)	7
Skewness	0.05650414
Sum	1722934
Variance	109.56581
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
87	787	3.9%
85	758	3.8%
86	753	3.8%
81	745	3.7%
84	745	3.7%
90	741	3.7%
88	708	3.5%
83	700	3.5%
89	692	3.5%
82	664	3.3%
Other values (70)	12747	63.6%

Value	Count	Frequency (%)
43	1	< 0.1%
46	2	< 0.1%
49	1	< 0.1%
50	1	< 0.1%
52	1	< 0.1%
53	4	< 0.1%
54	2	< 0.1%
55	6	< 0.1%
56	11	0.1%
57	9	< 0.1%

Value	Count	Frequency (%)
139	1	< 0.1%
126	1	< 0.1%
125	1	< 0.1%
124	2	< 0.1%
123	1	< 0.1%
122	4	< 0.1%
121	2	< 0.1%
120	7	< 0.1%
119	11	0.1%
118	9	< 0.1%

avg_session_minutes
Real number (ℝ)

Missing

Distinct	3845
Distinct (%)	19.8%
Missing	658
Missing (%)	3.3%
Infinite	0
Infinite (%)	0.0%
Mean	26.441482

Minimum	1
Maximum	58.35
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	1
5-th percentile	12.6105
Q1	20.75
median	26.49
Q3	32.11
95-th percentile	40.2395
Maximum	58.35
Range	57.35
Interquartile range (IQR)	11.36

Descriptive statistics

Standard deviation	8.3910565
Coefficient of variation (CV)	0.3173444
Kurtosis	-0.051397901
Mean	26.441482
Median Absolute Deviation (MAD)	5.69
Skewness	-0.00012481644
Sum	512488.81
Variance	70.409829
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	23	0.1%
24.88	21	0.1%
32.27	21	0.1%
27.29	19	0.1%
21.05	19	0.1%
25.99	18	0.1%
25.15	18	0.1%
28.81	17	0.1%
24.9	17	0.1%
23.75	17	0.1%
Other values (3835)	19192	95.8%
(Missing)	658	3.3%

Value	Count	Frequency (%)
1	23	0.1%
1.02	1	< 0.1%
1.06	1	< 0.1%
1.1	1	< 0.1%
1.12	1	< 0.1%
1.29	1	< 0.1%
1.36	1	< 0.1%
1.38	1	< 0.1%
1.56	1	< 0.1%
1.67	1	< 0.1%

Value	Count	Frequency (%)
58.35	1	< 0.1%
56.93	1	< 0.1%
56.59	1	< 0.1%
55.36	1	< 0.1%
54.73	1	< 0.1%
54.33	1	< 0.1%
53.78	1	< 0.1%
53.64	1	< 0.1%
53.57	1	< 0.1%
53.28	1	< 0.1%

credit_score
Real number (ℝ)

High correlation Missing

Distinct	483
Distinct (%)	2.5%
Missing	969
Missing (%)	4.8%
Infinite	0
Infinite (%)	0.0%
Mean	620.44444

Minimum	334
Maximum	850
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	334
5-th percentile	489
Q1	567
median	621
Q3	675
95-th percentile	752
Maximum	850
Range	516
Interquartile range (IQR)	108

Descriptive statistics

Standard deviation	79.804125
Coefficient of variation (CV)	0.12862413
Kurtosis	-0.063200036
Mean	620.44444
Median Absolute Deviation (MAD)	54
Skewness	-0.015334055
Sum	11832496
Variance	6368.6984
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
636	115	0.6%
614	115	0.6%
625	114	0.6%
585	113	0.6%
635	112	0.6%
628	111	0.6%
623	110	0.5%
600	108	0.5%
645	106	0.5%
620	104	0.5%
Other values (473)	17963	89.6%
(Missing)	969	4.8%

Value	Count	Frequency (%)
334	1	< 0.1%
344	1	< 0.1%
347	1	< 0.1%
349	1	< 0.1%
350	2	< 0.1%
352	1	< 0.1%
357	2	< 0.1%
361	1	< 0.1%
364	1	< 0.1%
366	1	< 0.1%

Value	Count	Frequency (%)
850	42	0.2%
849	4	< 0.1%
848	2	< 0.1%
847	2	< 0.1%
846	2	< 0.1%
845	1	< 0.1%
844	2	< 0.1%
843	2	< 0.1%
842	1	< 0.1%
841	4	< 0.1%

income
Real number (ℝ)

Missing

Distinct	18240
Distinct (%)	98.8%
Missing	1576
Missing (%)	7.9%
Infinite	0
Infinite (%)	0.0%
Mean	7532.3814

Minimum	952.57
Maximum	170382.45
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	952.57
5-th percentile	3193.0235
Q1	4881.135
median	6660.605
Q3	9004.505
95-th percentile	14078.349
Maximum	170382.45
Range	169429.88
Interquartile range (IQR)	4123.37

Descriptive statistics

Standard deviation	6388.8943
Coefficient of variation (CV)	0.8481905
Kurtosis	454.97788
Mean	7532.3814
Median Absolute Deviation (MAD)	1984.31
Skewness	18.151404
Sum	1.3907789 × 10⁸
Variance	40817971
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
170382.45	20	0.1%
5851.04	3	< 0.1%
7017.72	2	< 0.1%
5026.27	2	< 0.1%
4593.13	2	< 0.1%
6373.57	2	< 0.1%
5664.59	2	< 0.1%
8062.13	2	< 0.1%
6496.05	2	< 0.1%
5000.46	2	< 0.1%
Other values (18230)	18425	91.9%
(Missing)	1576	7.9%

Value	Count	Frequency (%)
952.57	1	< 0.1%
1094.49	1	< 0.1%
1296.6	1	< 0.1%
1454.43	1	< 0.1%
1470.78	1	< 0.1%
1555.37	1	< 0.1%
1559.44	1	< 0.1%
1562.13	1	< 0.1%
1568.13	1	< 0.1%
1577.04	1	< 0.1%

Value	Count	Frequency (%)
170382.45	20	0.1%
34076.49	1	< 0.1%
33417.29	1	< 0.1%
32888.26	1	< 0.1%
32587.13	1	< 0.1%
31350.92	1	< 0.1%
30887.29	1	< 0.1%
30103.68	1	< 0.1%
29274.15	1	< 0.1%
29161.19	1	< 0.1%

late_payments
Real number (ℝ)

High correlation Zeros

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.56996008

Minimum	0
Maximum	8
Zeros	12384
Zeros (%)	61.8%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.87692432
Coefficient of variation (CV)	1.5385715
Kurtosis	4.012319
Mean	0.56996008
Median Absolute Deviation (MAD)	0
Skewness	1.8298131
Sum	11422
Variance	0.76899626
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	12384	61.8%
1	4996	24.9%
2	1839	9.2%
3	607	3.0%
4	160	0.8%
5	40	0.2%
6	12	0.1%
8	1	< 0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
0	12384	61.8%
1	4996	24.9%
2	1839	9.2%
3	607	3.0%
4	160	0.8%
5	40	0.2%
6	12	0.1%
7	1	< 0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
7	1	< 0.1%
6	12	0.1%
5	40	0.2%
4	160	0.8%
3	607	3.0%
2	1839	9.2%
1	4996	24.9%
0	12384	61.8%

satisfaction_score
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

5	15689
4	3946
3	390
2	15

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20040
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	5
3rd row	5
4th row	5
5th row	5

Common Values

Value	Count	Frequency (%)
5	15689	78.3%
4	3946	19.7%
3	390	1.9%
2	15	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	15689	78.3%
4	3946	19.7%
3	390	1.9%
2	15	0.1%

Most occurring characters

Value	Count	Frequency (%)
5	15689	78.3%
4	3946	19.7%
3	390	1.9%
2	15	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	15689	78.3%
4	3946	19.7%
3	390	1.9%
2	15	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	15689	78.3%
4	3946	19.7%
3	390	1.9%
2	15	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	15689	78.3%
4	3946	19.7%
3	390	1.9%
2	15	0.1%

churned
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

0	14953
1	5087

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20040
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14953	74.6%
1	5087	25.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	14953	74.6%
1	5087	25.4%

Most occurring characters

Value	Count	Frequency (%)
0	14953	74.6%
1	5087	25.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	14953	74.6%
1	5087	25.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	14953	74.6%
1	5087	25.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	14953	74.6%
1	5087	25.4%

defaulted_loan
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

0	16177
1	3863

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	20040
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	16177	80.7%
1	3863	19.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	16177	80.7%
1	3863	19.3%

Most occurring characters

Value	Count	Frequency (%)
0	16177	80.7%
1	3863	19.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	16177	80.7%
1	3863	19.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	16177	80.7%
1	3863	19.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20040	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	16177	80.7%
1	3863	19.3%

next_month_spend
Real number (ℝ)

High correlation

Distinct	7365
Distinct (%)	36.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35.867961

Minimum	0
Maximum	137.04
Zeros	68
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	156.7 KiB

Quantile statistics

Minimum	0
5-th percentile	8.99
Q1	19.12
median	29.74
Q3	45.74
95-th percentile	88.001
Maximum	137.04
Range	137.04
Interquartile range (IQR)	26.62

Descriptive statistics

Standard deviation	23.562896
Coefficient of variation (CV)	0.65693437
Kurtosis	1.2613828
Mean	35.867961
Median Absolute Deviation (MAD)	12.495
Skewness	1.2462585
Sum	718793.93
Variance	555.21007
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	68	0.3%
14.69	13	0.1%
20.41	12	0.1%
18.43	12	0.1%
20.47	12	0.1%
20.22	11	0.1%
25.51	11	0.1%
23.85	11	0.1%
20.4	11	0.1%
21.43	11	0.1%
Other values (7355)	19868	99.1%

Value	Count	Frequency (%)
0	68	0.3%
0.07	1	< 0.1%
0.12	1	< 0.1%
0.15	1	< 0.1%
0.19	1	< 0.1%
0.21	1	< 0.1%
0.29	1	< 0.1%
0.33	1	< 0.1%
0.34	1	< 0.1%
0.4	1	< 0.1%

Value	Count	Frequency (%)
137.04	1	< 0.1%
136.86	1	< 0.1%
136.04	1	< 0.1%
135.59	1	< 0.1%
134.73	1	< 0.1%
133.41	1	< 0.1%
133.31	1	< 0.1%
132.38	1	< 0.1%
129.34	1	< 0.1%
129.06	1	< 0.1%

review_text
Categorical

High correlation Missing

Distinct	12
Distinct (%)	0.1%
Missing	204
Missing (%)	1.0%
Memory size	1.9 MiB

Fantastic experience from start to finish.	5214
Love it. Features are exactly what I need.	5203
Excellent! Fast, reliable, and great support.	5099
Pretty satisfied with the features for the price.	1317
Support was helpful and response time was decent.	1304
Other values (7)	1699

Length

Max length	55
Median length	42
Mean length	43.364438
Min length	26

Characters and Unicode

Total characters	860177
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Support was helpful and response time was decent.
2nd row	Love it. Features are exactly what I need.
3rd row	Fantastic experience from start to finish.
4th row	Love it. Features are exactly what I need.
5th row	Love it. Features are exactly what I need.

Common Values

Value	Count	Frequency (%)
Fantastic experience from start to finish.	5214	26.0%
Love it. Features are exactly what I need.	5203	26.0%
Excellent! Fast, reliable, and great support.	5099	25.4%
Pretty satisfied with the features for the price.	1317	6.6%
Support was helpful and response time was decent.	1304	6.5%
Good service and the app is improving.	1297	6.5%
Neither good nor bad. Meets basic expectations.	135	0.7%
It's okay. Does the job most of the time.	129	0.6%
Average experience so far.	123	0.6%
Not great. Some features are buggy.	8	< 0.1%
Other values (2)	7	< 0.1%
(Missing)	204	1.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	7707	5.7%
features	6528	4.8%
support	6406	4.7%
experience	5337	3.9%
to	5214	3.8%
finish	5214	3.8%
from	5214	3.8%
fantastic	5214	3.8%
start	5214	3.8%
are	5211	3.8%
Other values (54)	78995	58.0%

Most occurring characters

Value	Count	Frequency (%)
	116418	13.5%
e	105853	12.3%
t	82940	9.6%
a	66815	7.8%
r	52498	6.1%
s	43761	5.1%
i	43604	5.1%
n	37970	4.4%
o	29884	3.5%
l	28216	3.3%
Other values (31)	252218	29.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	860177	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	116418	13.5%
e	105853	12.3%
t	82940	9.6%
a	66815	7.8%
r	52498	6.1%
s	43761	5.1%
i	43604	5.1%
n	37970	4.4%
o	29884	3.5%
l	28216	3.3%
Other values (31)	252218	29.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	860177	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	116418	13.5%
e	105853	12.3%
t	82940	9.6%
a	66815	7.8%
r	52498	6.1%
s	43761	5.1%
i	43604	5.1%
n	37970	4.4%
o	29884	3.5%
l	28216	3.3%
Other values (31)	252218	29.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	860177	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	116418	13.5%
e	105853	12.3%
t	82940	9.6%
a	66815	7.8%
r	52498	6.1%
s	43761	5.1%
i	43604	5.1%
n	37970	4.4%
o	29884	3.5%
l	28216	3.3%
Other values (31)	252218	29.3%

Interactions

Correlations

	age	avg_session_minutes	calls_per_month	churned	contract	credit_score	customer_id	data_usage_gb	defaulted_loan	device_type	gender	has_app	has_international_plan	income	lat	late_payments	lng	messages_per_month	monthly_charges	next_month_spend	payment_method	plan_type	province	review_text	satisfaction_score	support_tickets_last_6mo	tenure_months	total_charges
age	1.000	-0.002	0.001	0.027	0.018	-0.002	0.003	0.004	0.011	0.000	0.000	0.012	0.011	0.005	0.006	0.006	-0.001	-0.003	0.004	-0.001	0.000	0.000	0.009	0.013	0.009	0.004	0.005	0.008
avg_session_minutes	-0.002	1.000	0.078	0.008	0.005	0.007	0.007	0.053	0.000	0.013	0.012	0.249	0.000	-0.017	0.002	-0.007	0.005	-0.005	0.096	0.104	0.009	0.113	0.000	0.000	0.011	-0.041	-0.009	0.059
calls_per_month	0.001	0.078	1.000	0.014	0.000	0.003	0.003	0.170	0.000	0.016	0.018	0.011	0.422	-0.001	-0.001	0.003	-0.007	-0.003	0.311	0.348	0.000	0.427	0.005	0.010	0.022	0.004	-0.011	0.192
churned	0.027	0.008	0.014	1.000	0.154	0.000	0.005	0.000	0.000	0.000	0.000	0.102	0.000	0.011	0.000	0.006	0.000	0.017	0.022	0.264	0.017	0.025	0.000	0.049	0.048	0.059	0.000	0.022
contract	0.018	0.005	0.000	0.154	1.000	0.000	0.006	0.000	0.004	0.000	0.000	0.000	0.000	0.000	0.016	0.000	0.003	0.000	0.000	0.025	0.000	0.000	0.000	0.004	0.002	0.000	0.000	0.013
credit_score	-0.002	0.007	0.003	0.000	0.000	1.000	-0.001	-0.006	0.169	0.001	0.000	0.000	0.015	-0.009	-0.000	-0.541	-0.001	0.011	0.004	0.000	0.005	0.008	0.008	0.023	0.046	0.011	-0.005	-0.005
customer_id	0.003	0.007	0.003	0.005	0.006	-0.001	1.000	-0.010	0.000	0.000	0.000	0.000	0.011	-0.002	0.002	0.008	-0.008	0.004	-0.003	-0.002	0.000	0.000	0.000	0.004	0.008	0.006	-0.013	-0.013
data_usage_gb	0.004	0.053	0.170	0.000	0.000	-0.006	-0.010	1.000	0.021	0.018	0.022	0.000	0.000	0.003	0.003	0.013	0.007	-0.000	0.190	0.328	0.007	0.068	0.000	0.028	0.024	0.006	-0.001	0.123
defaulted_loan	0.011	0.000	0.000	0.000	0.004	0.169	0.000	0.021	1.000	0.000	0.018	0.000	0.000	0.013	0.023	0.131	0.007	0.000	0.008	0.000	0.000	0.000	0.004	0.024	0.028	0.000	0.000	0.015
device_type	0.000	0.013	0.016	0.000	0.000	0.001	0.000	0.018	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.326	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.015	0.000
gender	0.000	0.012	0.018	0.000	0.000	0.000	0.000	0.022	0.018	0.000	1.000	0.003	0.000	0.003	0.000	0.000	0.009	0.013	0.000	0.005	0.010	0.000	0.011	0.005	0.008	0.000	0.003	0.000
has_app	0.012	0.249	0.011	0.102	0.000	0.000	0.000	0.000	0.000	0.000	0.003	1.000	0.000	0.000	0.000	0.000	0.012	0.022	0.006	0.010	0.013	0.000	0.013	0.133	0.134	0.184	0.000	0.020
has_international_plan	0.011	0.000	0.422	0.000	0.000	0.015	0.011	0.000	0.000	0.000	0.000	0.000	1.000	0.003	0.000	0.000	0.000	0.000	0.011	0.024	0.000	0.000	0.000	0.009	0.000	0.000	0.000	0.024
income	0.005	-0.017	-0.001	0.011	0.000	-0.009	-0.002	0.003	0.013	0.000	0.003	0.000	0.003	1.000	-0.003	0.007	-0.008	0.004	0.010	0.015	0.000	0.000	0.000	0.000	0.000	0.001	-0.007	0.000
lat	0.006	0.002	-0.001	0.000	0.016	-0.000	0.002	0.003	0.023	0.000	0.000	0.000	0.000	-0.003	1.000	0.003	0.339	-0.001	-0.005	0.001	0.000	0.005	0.683	0.010	0.000	0.005	0.003	-0.000
late_payments	0.006	-0.007	0.003	0.006	0.000	-0.541	0.008	0.013	0.131	0.000	0.000	0.000	0.000	0.007	0.003	1.000	0.000	-0.013	0.001	0.004	0.000	0.000	0.000	0.074	0.119	-0.013	0.006	0.009
lng	-0.001	0.005	-0.007	0.000	0.003	-0.001	-0.008	0.007	0.007	0.000	0.009	0.012	0.000	-0.008	0.339	0.000	1.000	-0.005	-0.004	-0.003	0.016	0.000	0.730	0.008	0.007	0.002	-0.003	-0.004
messages_per_month	-0.003	-0.005	-0.003	0.017	0.000	0.011	0.004	-0.000	0.000	0.326	0.013	0.022	0.000	0.004	-0.001	-0.013	-0.005	1.000	-0.007	0.004	0.000	0.000	0.000	0.013	0.011	-0.002	-0.006	-0.007
monthly_charges	0.004	0.096	0.311	0.022	0.000	0.004	-0.003	0.190	0.008	0.000	0.000	0.006	0.011	0.010	-0.005	0.001	-0.004	-0.007	1.000	0.906	0.016	0.454	0.000	0.021	0.033	0.003	0.010	0.611
next_month_spend	-0.001	0.104	0.348	0.264	0.025	0.000	-0.002	0.328	0.000	0.000	0.005	0.010	0.024	0.015	0.001	0.004	-0.003	0.004	0.906	1.000	0.000	0.810	0.000	0.026	0.041	-0.002	0.011	0.563
payment_method	0.000	0.009	0.000	0.017	0.000	0.005	0.000	0.007	0.000	0.000	0.010	0.013	0.000	0.000	0.000	0.000	0.016	0.000	0.016	0.000	1.000	0.000	0.014	0.000	0.000	0.010	0.000	0.011
plan_type	0.000	0.113	0.427	0.025	0.000	0.008	0.000	0.068	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.000	0.454	0.810	0.000	1.000	0.000	0.028	0.026	0.000	0.000	0.496
province	0.009	0.000	0.005	0.000	0.000	0.008	0.000	0.000	0.004	0.000	0.011	0.013	0.000	0.000	0.683	0.000	0.730	0.000	0.000	0.000	0.014	0.000	1.000	0.008	0.007	0.000	0.000	0.000
review_text	0.013	0.000	0.010	0.049	0.004	0.023	0.004	0.028	0.024	0.000	0.005	0.133	0.009	0.000	0.010	0.074	0.008	0.013	0.021	0.026	0.000	0.028	0.008	1.000	1.000	0.151	0.005	0.000
satisfaction_score	0.009	0.011	0.022	0.048	0.002	0.046	0.008	0.024	0.028	0.000	0.008	0.134	0.000	0.000	0.000	0.119	0.007	0.011	0.033	0.041	0.000	0.026	0.007	1.000	1.000	0.246	0.000	0.015
support_tickets_last_6mo	0.004	-0.041	0.004	0.059	0.000	0.011	0.006	0.006	0.000	0.000	0.000	0.184	0.000	0.001	0.005	-0.013	0.002	-0.002	0.003	-0.002	0.010	0.000	0.000	0.151	0.246	1.000	-0.003	-0.003
tenure_months	0.005	-0.009	-0.011	0.000	0.000	-0.005	-0.013	-0.001	0.000	0.015	0.003	0.000	0.000	-0.007	0.003	0.006	-0.003	-0.006	0.010	0.011	0.000	0.000	0.000	0.005	0.000	-0.003	1.000	0.744
total_charges	0.008	0.059	0.192	0.022	0.013	-0.005	-0.013	0.123	0.015	0.000	0.000	0.020	0.024	0.000	-0.000	0.009	-0.004	-0.007	0.611	0.563	0.011	0.496	0.000	0.000	0.015	-0.003	0.744	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	customer_id	signup_date	last_seen	age	gender	province	lat	lng	plan_type	contract	payment_method	device_type	has_app	has_international_plan	tenure_months	monthly_charges	total_charges	support_tickets_last_6mo	data_usage_gb	calls_per_month	messages_per_month	avg_session_minutes	credit_score	income	late_payments	satisfaction_score	defaulted_loan	next_month_spend	review_text
0	2381	2023-10-04	2025-07-01	37	Male	Matabeleland North	-18.5037	27.6997	Premium	Month-to-Month	NaN	Android	1	0	21	48.99	986.33	3	17.01	59	76	26.40	538.0	4368.38	1	4	0	59.47	Support was helpful and response time was decent.
1	8744	2018-05-18	2020-11-22	27	Female	Mashonaland West	-17.1791	30.2245	Prepaid	Month-to-Month	Credit Card	Android	1	0	30	8.88	260.98	0	11.93	39	108	32.68	607.0	13421.71	0	5	0	9.73	Love it. Features are exactly what I need.
2	14095	2022-11-11	2023-11-01	28	Male	Midlands	-19.9162	29.9921	Prepaid	One Year	EcoCash	Android	1	0	11	14.10	169.30	0	3.66	41	89	17.35	667.0	NaN	1	5	0	24.18	Fantastic experience from start to finish.
3	2860	2019-03-24	2020-05-03	37	Male	Bulawayo	-20.1407	28.6429	Prepaid	Month-to-Month	EcoCash	Android	1	0	13	15.42	186.67	0	8.53	31	92	30.85	486.0	8896.62	2	5	1	22.16	Love it. Features are exactly what I need.
4	17946	2020-02-23	2020-10-12	18	Female	Matabeleland South	-20.7940	29.4687	Postpaid	Two Year	Debit Card	iOS	1	1	7	34.55	244.79	2	8.83	44	64	24.68	670.0	6673.12	0	5	0	44.83	Love it. Features are exactly what I need.
5	8139	2021-10-09	2024-08-02	25	Female	Mashonaland Central	-16.7326	31.0045	Postpaid	Month-to-Month	EcoCash	iOS	1	0	34	28.95	1010.01	2	5.44	45	85	41.02	525.0	NaN	3	5	0	37.43	Fantastic experience from start to finish.
6	5249	2021-03-13	2022-01-31	25	Male	Matabeleland North	-18.4700	27.5706	Prepaid	One Year	EcoCash	Android	1	0	10	14.39	133.16	0	4.83	44	81	31.67	774.0	9734.43	0	5	0	3.53	Fantastic experience from start to finish.
7	1338	2022-10-05	2025-03-12	43	Male	Mashonaland East	-18.2807	32.3509	Postpaid	One Year	Cash	Android	1	0	29	27.49	804.27	0	9.88	38	98	26.80	685.0	4036.29	0	5	0	39.01	Love it. Features are exactly what I need.
8	1291	2020-10-11	2021-05-28	36	Female	Bulawayo	-19.7774	28.3943	Postpaid	Month-to-Month	EcoCash	iOS	1	0	7	25.18	164.46	0	14.14	44	81	25.78	664.0	5493.90	0	5	0	34.90	Love it. Features are exactly what I need.
9	1007	2022-11-05	2022-11-10	51	Female	Bulawayo	-19.7937	28.7199	Premium	One Year	EcoCash	iOS	0	0	0	81.80	0.00	1	11.42	58	85	NaN	645.0	3394.14	0	5	0	98.00	Fantastic experience from start to finish.

	customer_id	signup_date	last_seen	age	gender	province	lat	lng	plan_type	contract	payment_method	device_type	has_app	has_international_plan	tenure_months	monthly_charges	total_charges	support_tickets_last_6mo	data_usage_gb	calls_per_month	messages_per_month	avg_session_minutes	credit_score	income	late_payments	satisfaction_score	churned	defaulted_loan	next_month_spend	review_text
20030	11364	2020-08-08	2020-09-05	40	Female	Mashonaland Central	-16.1627	31.3112	Prepaid	Month-to-Month	Credit Card	Android	1	1	0	18.67	0.00	1	3.68	53	86	48.16	514.0	5597.67	0	5	0	1	14.45	Love it. Features are exactly what I need.
20031	14424	2018-09-12	2020-06-23	44	Male	Matabeleland North	-18.4052	27.4453	Prepaid	Month-to-Month	Credit Card	Android	1	1	21	7.83	176.83	0	26.72	67	85	17.97	445.0	7181.52	2	4	0	0	24.11	Pretty satisfied with the features for the price.
20032	4427	2019-08-29	2020-06-20	30	Male	Matabeleland South	-20.8394	29.0095	Prepaid	Month-to-Month	Debit Card	Web	1	0	9	19.24	175.42	0	4.10	39	76	19.42	695.0	10955.67	0	5	0	0	16.13	Fantastic experience from start to finish.
20033	16851	2024-04-11	2025-06-24	27	Male	Matabeleland North	-18.4572	27.4358	Premium	One Year	Debit Card	Android	1	1	14	75.07	1081.54	0	22.90	74	98	32.02	460.0	2977.49	2	3	0	0	92.53	It's okay. Does the job most of the time.
20034	6266	2021-07-04	2023-11-26	33	Male	Midlands	-19.3262	29.7608	Prepaid	One Year	Debit Card	Android	1	1	29	7.98	230.01	1	7.69	50	101	33.77	680.0	6982.97	0	4	0	0	10.53	Support was helpful and response time was decent.
20035	11285	2024-02-27	2025-09-30	51	Male	Mashonaland Central	-16.7711	30.6232	Postpaid	Month-to-Month	Debit Card	Android	1	0	19	32.30	631.09	0	9.21	37	81	24.74	533.0	NaN	1	5	0	0	42.12	Excellent! Fast, reliable, and great support.
20036	11965	2021-11-01	2023-02-06	18	Female	Mashonaland East	-18.4501	32.2472	Postpaid	Month-to-Month	Debit Card	Android	1	0	15	38.52	615.73	0	10.32	38	80	24.47	521.0	13032.40	0	5	1	0	47.78	Excellent! Fast, reliable, and great support.
20037	5391	2018-12-23	2019-06-08	24	Female	Mashonaland Central	-16.8615	31.1293	Postpaid	Month-to-Month	Credit Card	Android	1	0	5	37.11	197.27	0	6.20	28	90	33.28	633.0	5464.86	0	5	0	0	38.08	Love it. Features are exactly what I need.
20038	861	2023-06-06	2024-08-01	34	Female	Mashonaland West	-17.4639	30.5270	Postpaid	One Year	Debit Card	Android	1	0	14	25.77	355.52	0	18.12	45	101	20.72	493.0	NaN	1	5	1	0	27.89	Love it. Features are exactly what I need.
20039	15796	2019-06-22	2022-05-15	31	Female	Harare	-17.7882	31.0157	Postpaid	One Year	Debit Card	Android	1	0	35	39.45	1379.02	1	15.85	32	89	30.82	684.0	3645.68	0	5	0	1	50.08	Love it. Features are exactly what I need.

Duplicate rows

Most frequently occurring

	customer_id	signup_date	last_seen	age	gender	province	lat	lng	plan_type	contract	payment_method	device_type	has_app	tenure_months	monthly_charges	total_charges	support_tickets_last_6mo	data_usage_gb	calls_per_month	messages_per_month	avg_session_minutes	credit_score	income	late_payments	satisfaction_score	churned	defaulted_loan	next_month_spend	review_text	# duplicates
0	1204	2020-04-07	2020-12-28	31	Male	Manicaland	-19.3451	32.5371	Postpaid	Month-to-Month	Cash	iOS	1	8	31.72	237.44	0	3.96	38	77	28.81	434.0	5948.24	1	5	0	0	29.11	Love it. Features are exactly what I need.	2
1	2559	2018-07-16	2019-09-12	39	Female	Mashonaland Central	-16.5450	31.1915	Prepaid	One Year	Debit Card	iOS	1	14	13.02	196.51	1	13.48	43	82	17.42	600.0	NaN	0	5	0	1	24.76	Excellent! Fast, reliable, and great support.	2
2	2745	2022-05-10	2024-08-27	47	Male	Mashonaland Central	-16.5432	31.1210	Prepaid	Month-to-Month	EcoCash	Web	1	28	17.90	519.67	2	9.03	22	75	17.47	635.0	4182.88	0	5	0	0	17.50	Fantastic experience from start to finish.	2
3	3116	2024-02-21	2025-09-30	35	Female	Mashonaland West	-17.1490	30.7169	Prepaid	Month-to-Month	NaN	Android	0	19	12.66	249.82	1	NaN	36	101	11.25	778.0	3754.91	0	5	1	0	5.72	Love it. Features are exactly what I need.	2
4	3439	2024-06-30	2025-09-30	42	Female	Matabeleland South	-21.0011	28.5506	Premium	Month-to-Month	Debit Card	Web	1	15	80.93	1209.35	0	11.76	58	80	NaN	542.0	8062.13	0	5	0	1	95.82	Excellent! Fast, reliable, and great support.	2
5	3781	2020-10-18	2021-05-01	31	Female	Matabeleland North	-18.5383	27.5517	Postpaid	One Year	EcoCash	iOS	1	6	33.70	185.74	1	3.88	43	64	21.05	562.0	6714.57	2	5	1	0	30.97	Fantastic experience from start to finish.	2
6	5348	2019-10-21	2022-01-04	20	Male	Bulawayo	-20.0610	28.6791	Prepaid	Month-to-Month	Debit Card	Web	1	26	16.91	448.60	1	5.71	46	62	22.81	690.0	7739.48	0	5	0	0	22.26	Love it. Features are exactly what I need.	2
7	6300	2020-03-07	2020-08-27	20	Female	Bulawayo	-20.2098	28.6688	Premium	Month-to-Month	EcoCash	iOS	0	5	59.14	298.77	1	10.05	40	78	32.19	589.0	3570.65	0	5	0	0	69.37	Fantastic experience from start to finish.	2
8	6721	2023-05-28	2023-06-04	31	Male	Matabeleland North	-18.5992	27.7133	Prepaid	Month-to-Month	Debit Card	Android	0	0	20.24	0.00	2	13.37	41	109	19.12	NaN	7266.04	0	5	1	0	19.03	Fantastic experience from start to finish.	2
9	6749	2024-12-12	2025-09-30	38	Male	Mashonaland West	-17.3666	30.2558	Premium	Month-to-Month	Credit Card	Android	1	9	75.35	649.41	0	19.09	51	89	31.67	532.0	1869.06	0	4	0	0	95.46	Support was helpful and response time was decent.	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)